{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Target\n",
    "\n",
    "![](http://r-statistics.co/screenshots/ggplot_masterlist_11.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "mtcars= pd.read_csv(\"https://gist.githubusercontent.com/seankross/a412dfbd88b3db70b74b/raw/5f23f993cd87c283ce766e7ac6b329ee7cc2e1d1/mtcars.csv\") \n",
    "mtcars['mpg_z']= ((mtcars['mpg'] - mtcars['mpg'].mean()))/mtcars['mpg'].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.678685382510707e-16"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_mpg_z = mtcars['mpg_z'].mean()\n",
    "mean_mpg_z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "chart = LayeredChart(mtcars)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from altair import *\n",
    "c1 = Chart(mtcars).mark_bar(color='black', barSize=1).encode(y=Y('model', sort=SortField(op='mean', order='descending', field='mpg_z')),\n",
    "                                x=X('mpg_z' )).transform_data(\n",
    "   calculate=[Formula('Performance', expr.where(expr.df.mpg_z < mean_mpg_z,'Below average','Above average'))],\n",
    "   \n",
    ").configure_cell(height=100, width=400).configure_scale(bandSize=22) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c2 = Chart(mtcars).mark_circle(color='black', size=400).encode(y=Y('model', sort=SortField(op='mean', order='descending', field='mpg_z')),\n",
    "                                x=X('mpg_z' ), text='mpg_z').transform_data(\n",
    "   calculate=[Formula('Performance', expr.where(expr.df.mpg_z < mean_mpg_z,'Below average','Above average'))],\n",
    "   \n",
    ").configure_cell(height=100, width=400).configure_scale(bandSize=22) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c3 = Chart(mtcars).mark_text(color='white').encode(y=Y('model', sort=SortField(op='mean', order='descending', field='mpg_z')),\n",
    "                                x=X('mpg_z' ), text='mpg_z').transform_data(\n",
    "   calculate=[Formula('Performance', expr.where(expr.df.mpg_z < mean_mpg_z,'Below average','Above average'))],\n",
    "   \n",
    ").configure_cell(height=100, width=400).configure_scale(bandSize=22) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"vega-embed\" id=\"ded680b2-309d-4f91-88d8-dbc8fa6f5d61\"></div>\n",
       "\n",
       "<style>\n",
       ".vega-embed svg, .vega-embed canvas {\n",
       "  border: 1px dotted gray;\n",
       "}\n",
       "\n",
       ".vega-embed .vega-actions a {\n",
       "  margin-right: 6px;\n",
       "}\n",
       "</style>\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#ded680b2-309d-4f91-88d8-dbc8fa6f5d61"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "var spec = {\"layers\": [{\"data\": {\"values\": [{\"disp\": 160.0, \"mpg\": 21.0, \"gear\": 4, \"drat\": 3.9, \"qsec\": 16.46, \"am\": 1, \"hp\": 110, \"vs\": 0, \"wt\": 2.62, \"mpg_z\": 0.1508848246476573, \"carb\": 4, \"model\": \"Mazda RX4\", \"cyl\": 6}, {\"disp\": 160.0, \"mpg\": 21.0, \"gear\": 4, \"drat\": 3.9, \"qsec\": 17.02, \"am\": 1, \"hp\": 110, \"vs\": 0, \"wt\": 2.875, \"mpg_z\": 0.1508848246476573, \"carb\": 4, \"model\": \"Mazda RX4 Wag\", \"cyl\": 6}, {\"disp\": 108.0, \"mpg\": 22.8, \"gear\": 4, \"drat\": 3.85, \"qsec\": 18.61, \"am\": 1, \"hp\": 93, \"vs\": 1, \"wt\": 2.32, \"mpg_z\": 0.44954344663064777, \"carb\": 1, \"model\": \"Datsun 710\", \"cyl\": 4}, {\"disp\": 258.0, \"mpg\": 21.4, \"gear\": 3, \"drat\": 3.08, \"qsec\": 19.44, \"am\": 0, \"hp\": 110, \"vs\": 1, \"wt\": 3.215, \"mpg_z\": 0.21725340731054382, \"carb\": 1, \"model\": \"Hornet 4 Drive\", \"cyl\": 6}, {\"disp\": 360.0, \"mpg\": 18.7, \"gear\": 3, \"drat\": 3.15, \"qsec\": 17.02, \"am\": 0, \"hp\": 175, \"vs\": 0, \"wt\": 3.44, \"mpg_z\": -0.23073452566394162, \"carb\": 2, \"model\": \"Hornet Sportabout\", \"cyl\": 8}, {\"disp\": 225.0, \"mpg\": 18.1, \"gear\": 3, \"drat\": 2.76, \"qsec\": 20.22, \"am\": 0, \"hp\": 105, \"vs\": 1, \"wt\": 3.46, \"mpg_z\": -0.33028739965827136, \"carb\": 1, \"model\": \"Valiant\", \"cyl\": 6}, {\"disp\": 360.0, \"mpg\": 14.3, \"gear\": 3, \"drat\": 3.21, \"qsec\": 15.84, \"am\": 0, \"hp\": 245, \"vs\": 0, \"wt\": 3.57, \"mpg_z\": -0.9607889349556956, \"carb\": 4, \"model\": \"Duster 360\", \"cyl\": 8}, {\"disp\": 146.7, \"mpg\": 24.4, \"gear\": 4, \"drat\": 3.69, \"qsec\": 20.0, \"am\": 0, \"hp\": 62, \"vs\": 1, \"wt\": 3.19, \"mpg_z\": 0.7150177772821944, \"carb\": 2, \"model\": \"Merc 240D\", \"cyl\": 4}, {\"disp\": 140.8, \"mpg\": 22.8, \"gear\": 4, \"drat\": 3.92, \"qsec\": 22.9, \"am\": 0, \"hp\": 95, \"vs\": 1, \"wt\": 3.15, \"mpg_z\": 0.44954344663064777, \"carb\": 2, \"model\": \"Merc 230\", \"cyl\": 4}, {\"disp\": 167.6, \"mpg\": 19.2, \"gear\": 4, \"drat\": 3.92, \"qsec\": 18.3, \"am\": 0, \"hp\": 123, \"vs\": 1, \"wt\": 3.44, \"mpg_z\": -0.1477737973353332, \"carb\": 4, \"model\": \"Merc 280\", \"cyl\": 6}, {\"disp\": 167.6, \"mpg\": 17.8, \"gear\": 4, \"drat\": 3.92, \"qsec\": 18.9, \"am\": 0, \"hp\": 123, \"vs\": 1, \"wt\": 3.44, \"mpg_z\": -0.3800638366554366, \"carb\": 4, \"model\": \"Merc 280C\", \"cyl\": 6}, {\"disp\": 275.8, \"mpg\": 16.4, \"gear\": 3, \"drat\": 3.07, \"qsec\": 17.4, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 4.07, \"mpg_z\": -0.6123538759755406, \"carb\": 3, \"model\": \"Merc 450SE\", \"cyl\": 8}, {\"disp\": 275.8, \"mpg\": 17.3, \"gear\": 3, \"drat\": 3.07, \"qsec\": 17.6, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 3.73, \"mpg_z\": -0.463024564984045, \"carb\": 3, \"model\": \"Merc 450SL\", \"cyl\": 8}, {\"disp\": 275.8, \"mpg\": 15.2, \"gear\": 3, \"drat\": 3.07, \"qsec\": 18.0, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 3.78, \"mpg_z\": -0.8114596239642007, \"carb\": 3, \"model\": \"Merc 450SLC\", \"cyl\": 8}, {\"disp\": 472.0, \"mpg\": 10.4, \"gear\": 3, \"drat\": 2.93, \"qsec\": 17.98, \"am\": 0, \"hp\": 205, \"vs\": 0, \"wt\": 5.25, \"mpg_z\": -1.6078826159188415, \"carb\": 4, \"model\": \"Cadillac Fleetwood\", \"cyl\": 8}, {\"disp\": 460.0, \"mpg\": 10.4, \"gear\": 3, \"drat\": 3.0, \"qsec\": 17.82, \"am\": 0, \"hp\": 215, \"vs\": 0, \"wt\": 5.4239999999999995, \"mpg_z\": -1.6078826159188415, \"carb\": 4, \"model\": \"Lincoln Continental\", \"cyl\": 8}, {\"disp\": 440.0, \"mpg\": 14.7, \"gear\": 3, \"drat\": 3.23, \"qsec\": 17.42, \"am\": 0, \"hp\": 230, \"vs\": 0, \"wt\": 5.345, \"mpg_z\": -0.8944203522928091, \"carb\": 4, \"model\": \"Chrysler Imperial\", \"cyl\": 8}, {\"disp\": 78.7, \"mpg\": 32.4, \"gear\": 4, \"drat\": 4.08, \"qsec\": 19.47, \"am\": 1, \"hp\": 66, \"vs\": 1, \"wt\": 2.2, \"mpg_z\": 2.0423894305399295, \"carb\": 1, \"model\": \"Fiat 128\", \"cyl\": 4}, {\"disp\": 75.7, \"mpg\": 30.4, \"gear\": 4, \"drat\": 4.93, \"qsec\": 18.52, \"am\": 1, \"hp\": 52, \"vs\": 1, \"wt\": 1.615, \"mpg_z\": 1.7105465172254957, \"carb\": 2, \"model\": \"Honda Civic\", \"cyl\": 4}, {\"disp\": 71.1, \"mpg\": 33.9, \"gear\": 4, \"drat\": 4.22, \"qsec\": 19.9, \"am\": 1, \"hp\": 65, \"vs\": 1, \"wt\": 1.835, \"mpg_z\": 2.291271615525755, \"carb\": 1, \"model\": \"Toyota Corolla\", \"cyl\": 4}, {\"disp\": 120.1, \"mpg\": 21.5, \"gear\": 3, \"drat\": 3.7, \"qsec\": 20.01, \"am\": 0, \"hp\": 97, \"vs\": 1, \"wt\": 2.465, \"mpg_z\": 0.23384555297626572, \"carb\": 1, \"model\": \"Toyota Corona\", \"cyl\": 4}, {\"disp\": 318.0, \"mpg\": 15.5, \"gear\": 3, \"drat\": 2.76, \"qsec\": 16.87, \"am\": 0, \"hp\": 150, \"vs\": 0, \"wt\": 3.52, \"mpg_z\": -0.7616831869670355, \"carb\": 2, \"model\": \"Dodge Challenger\", \"cyl\": 8}, {\"disp\": 304.0, \"mpg\": 15.2, \"gear\": 3, \"drat\": 3.15, \"qsec\": 17.3, \"am\": 0, \"hp\": 150, \"vs\": 0, \"wt\": 3.435, \"mpg_z\": -0.8114596239642007, \"carb\": 2, \"model\": \"AMC Javelin\", \"cyl\": 8}, {\"disp\": 350.0, \"mpg\": 13.3, \"gear\": 3, \"drat\": 3.73, \"qsec\": 15.41, \"am\": 0, \"hp\": 245, \"vs\": 0, \"wt\": 3.84, \"mpg_z\": -1.1267103916129124, \"carb\": 4, \"model\": \"Camaro Z28\", \"cyl\": 8}, {\"disp\": 400.0, \"mpg\": 19.2, \"gear\": 3, \"drat\": 3.08, \"qsec\": 17.05, \"am\": 0, \"hp\": 175, \"vs\": 0, \"wt\": 3.845, \"mpg_z\": -0.1477737973353332, \"carb\": 2, \"model\": \"Pontiac Firebird\", \"cyl\": 8}, {\"disp\": 79.0, \"mpg\": 27.3, \"gear\": 4, \"drat\": 4.08, \"qsec\": 18.9, \"am\": 1, \"hp\": 66, \"vs\": 1, \"wt\": 1.935, \"mpg_z\": 1.1961900015881237, \"carb\": 1, \"model\": \"Fiat X1-9\", \"cyl\": 4}, {\"disp\": 120.3, \"mpg\": 26.0, \"gear\": 5, \"drat\": 4.43, \"qsec\": 16.7, \"am\": 1, \"hp\": 91, \"vs\": 0, \"wt\": 2.14, \"mpg_z\": 0.9804921079337416, \"carb\": 2, \"model\": \"Porsche 914-2\", \"cyl\": 4}, {\"disp\": 95.1, \"mpg\": 30.4, \"gear\": 5, \"drat\": 3.77, \"qsec\": 16.9, \"am\": 1, \"hp\": 113, \"vs\": 1, \"wt\": 1.5130000000000001, \"mpg_z\": 1.7105465172254957, \"carb\": 2, \"model\": \"Lotus Europa\", \"cyl\": 4}, {\"disp\": 351.0, \"mpg\": 15.8, \"gear\": 5, \"drat\": 4.22, \"qsec\": 14.5, \"am\": 1, \"hp\": 264, \"vs\": 0, \"wt\": 3.17, \"mpg_z\": -0.7119067499698704, \"carb\": 4, \"model\": \"Ford Pantera L\", \"cyl\": 8}, {\"disp\": 145.0, \"mpg\": 19.7, \"gear\": 5, \"drat\": 3.62, \"qsec\": 15.5, \"am\": 1, \"hp\": 175, \"vs\": 0, \"wt\": 2.77, \"mpg_z\": -0.06481306900672475, \"carb\": 6, \"model\": \"Ferrari Dino\", \"cyl\": 6}, {\"disp\": 301.0, \"mpg\": 15.0, \"gear\": 5, \"drat\": 3.54, \"qsec\": 14.6, \"am\": 1, \"hp\": 335, \"vs\": 0, \"wt\": 3.57, \"mpg_z\": -0.8446439152956439, \"carb\": 8, \"model\": \"Maserati Bora\", \"cyl\": 8}, {\"disp\": 121.0, \"mpg\": 21.4, \"gear\": 4, \"drat\": 4.11, \"qsec\": 18.6, \"am\": 1, \"hp\": 109, \"vs\": 1, \"wt\": 2.78, \"mpg_z\": 0.21725340731054382, \"carb\": 2, \"model\": \"Volvo 142E\", \"cyl\": 4}]}, \"mark\": \"bar\", \"config\": {\"cell\": {\"width\": 400.0, \"height\": 100.0}, \"scale\": {\"bandSize\": 22.0}, \"mark\": {\"color\": \"black\", \"barSize\": 1.0}}, \"transform\": {\"calculate\": [{\"expr\": \"if((datum.mpg_z<6.678685382510707e-16),'Below average','Above average')\", \"field\": \"Performance\"}]}, \"encoding\": {\"y\": {\"sort\": {\"field\": \"mpg_z\", \"order\": \"descending\", \"op\": \"mean\"}, \"field\": \"model\", \"type\": \"nominal\"}, \"x\": {\"field\": \"mpg_z\", \"type\": \"quantitative\"}}}, {\"data\": {\"values\": [{\"disp\": 160.0, \"mpg\": 21.0, \"gear\": 4, \"drat\": 3.9, \"qsec\": 16.46, \"am\": 1, \"hp\": 110, \"vs\": 0, \"wt\": 2.62, \"mpg_z\": 0.1508848246476573, \"carb\": 4, \"model\": \"Mazda RX4\", \"cyl\": 6}, {\"disp\": 160.0, \"mpg\": 21.0, \"gear\": 4, \"drat\": 3.9, \"qsec\": 17.02, \"am\": 1, \"hp\": 110, \"vs\": 0, \"wt\": 2.875, \"mpg_z\": 0.1508848246476573, \"carb\": 4, \"model\": \"Mazda RX4 Wag\", \"cyl\": 6}, {\"disp\": 108.0, \"mpg\": 22.8, \"gear\": 4, \"drat\": 3.85, \"qsec\": 18.61, \"am\": 1, \"hp\": 93, \"vs\": 1, \"wt\": 2.32, \"mpg_z\": 0.44954344663064777, \"carb\": 1, \"model\": \"Datsun 710\", \"cyl\": 4}, {\"disp\": 258.0, \"mpg\": 21.4, \"gear\": 3, \"drat\": 3.08, \"qsec\": 19.44, \"am\": 0, \"hp\": 110, \"vs\": 1, \"wt\": 3.215, \"mpg_z\": 0.21725340731054382, \"carb\": 1, \"model\": \"Hornet 4 Drive\", \"cyl\": 6}, {\"disp\": 360.0, \"mpg\": 18.7, \"gear\": 3, \"drat\": 3.15, \"qsec\": 17.02, \"am\": 0, \"hp\": 175, \"vs\": 0, \"wt\": 3.44, \"mpg_z\": -0.23073452566394162, \"carb\": 2, \"model\": \"Hornet Sportabout\", \"cyl\": 8}, {\"disp\": 225.0, \"mpg\": 18.1, \"gear\": 3, \"drat\": 2.76, \"qsec\": 20.22, \"am\": 0, \"hp\": 105, \"vs\": 1, \"wt\": 3.46, \"mpg_z\": -0.33028739965827136, \"carb\": 1, \"model\": \"Valiant\", \"cyl\": 6}, {\"disp\": 360.0, \"mpg\": 14.3, \"gear\": 3, \"drat\": 3.21, \"qsec\": 15.84, \"am\": 0, \"hp\": 245, \"vs\": 0, \"wt\": 3.57, \"mpg_z\": -0.9607889349556956, \"carb\": 4, \"model\": \"Duster 360\", \"cyl\": 8}, {\"disp\": 146.7, \"mpg\": 24.4, \"gear\": 4, \"drat\": 3.69, \"qsec\": 20.0, \"am\": 0, \"hp\": 62, \"vs\": 1, \"wt\": 3.19, \"mpg_z\": 0.7150177772821944, \"carb\": 2, \"model\": \"Merc 240D\", \"cyl\": 4}, {\"disp\": 140.8, \"mpg\": 22.8, \"gear\": 4, \"drat\": 3.92, \"qsec\": 22.9, \"am\": 0, \"hp\": 95, \"vs\": 1, \"wt\": 3.15, \"mpg_z\": 0.44954344663064777, \"carb\": 2, \"model\": \"Merc 230\", \"cyl\": 4}, {\"disp\": 167.6, \"mpg\": 19.2, \"gear\": 4, \"drat\": 3.92, \"qsec\": 18.3, \"am\": 0, \"hp\": 123, \"vs\": 1, \"wt\": 3.44, \"mpg_z\": -0.1477737973353332, \"carb\": 4, \"model\": \"Merc 280\", \"cyl\": 6}, {\"disp\": 167.6, \"mpg\": 17.8, \"gear\": 4, \"drat\": 3.92, \"qsec\": 18.9, \"am\": 0, \"hp\": 123, \"vs\": 1, \"wt\": 3.44, \"mpg_z\": -0.3800638366554366, \"carb\": 4, \"model\": \"Merc 280C\", \"cyl\": 6}, {\"disp\": 275.8, \"mpg\": 16.4, \"gear\": 3, \"drat\": 3.07, \"qsec\": 17.4, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 4.07, \"mpg_z\": -0.6123538759755406, \"carb\": 3, \"model\": \"Merc 450SE\", \"cyl\": 8}, {\"disp\": 275.8, \"mpg\": 17.3, \"gear\": 3, \"drat\": 3.07, \"qsec\": 17.6, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 3.73, \"mpg_z\": -0.463024564984045, \"carb\": 3, \"model\": \"Merc 450SL\", \"cyl\": 8}, {\"disp\": 275.8, \"mpg\": 15.2, \"gear\": 3, \"drat\": 3.07, \"qsec\": 18.0, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 3.78, \"mpg_z\": -0.8114596239642007, \"carb\": 3, \"model\": \"Merc 450SLC\", \"cyl\": 8}, {\"disp\": 472.0, \"mpg\": 10.4, \"gear\": 3, \"drat\": 2.93, \"qsec\": 17.98, \"am\": 0, \"hp\": 205, \"vs\": 0, \"wt\": 5.25, \"mpg_z\": -1.6078826159188415, \"carb\": 4, \"model\": \"Cadillac Fleetwood\", \"cyl\": 8}, {\"disp\": 460.0, \"mpg\": 10.4, \"gear\": 3, \"drat\": 3.0, \"qsec\": 17.82, \"am\": 0, \"hp\": 215, \"vs\": 0, \"wt\": 5.4239999999999995, \"mpg_z\": -1.6078826159188415, \"carb\": 4, \"model\": \"Lincoln Continental\", \"cyl\": 8}, {\"disp\": 440.0, \"mpg\": 14.7, \"gear\": 3, \"drat\": 3.23, \"qsec\": 17.42, \"am\": 0, \"hp\": 230, \"vs\": 0, \"wt\": 5.345, \"mpg_z\": -0.8944203522928091, \"carb\": 4, \"model\": \"Chrysler Imperial\", \"cyl\": 8}, {\"disp\": 78.7, \"mpg\": 32.4, \"gear\": 4, \"drat\": 4.08, \"qsec\": 19.47, \"am\": 1, \"hp\": 66, \"vs\": 1, \"wt\": 2.2, \"mpg_z\": 2.0423894305399295, \"carb\": 1, \"model\": \"Fiat 128\", \"cyl\": 4}, {\"disp\": 75.7, \"mpg\": 30.4, \"gear\": 4, \"drat\": 4.93, \"qsec\": 18.52, \"am\": 1, \"hp\": 52, \"vs\": 1, \"wt\": 1.615, \"mpg_z\": 1.7105465172254957, \"carb\": 2, \"model\": \"Honda Civic\", \"cyl\": 4}, {\"disp\": 71.1, \"mpg\": 33.9, \"gear\": 4, \"drat\": 4.22, \"qsec\": 19.9, \"am\": 1, \"hp\": 65, \"vs\": 1, \"wt\": 1.835, \"mpg_z\": 2.291271615525755, \"carb\": 1, \"model\": \"Toyota Corolla\", \"cyl\": 4}, {\"disp\": 120.1, \"mpg\": 21.5, \"gear\": 3, \"drat\": 3.7, \"qsec\": 20.01, \"am\": 0, \"hp\": 97, \"vs\": 1, \"wt\": 2.465, \"mpg_z\": 0.23384555297626572, \"carb\": 1, \"model\": \"Toyota Corona\", \"cyl\": 4}, {\"disp\": 318.0, \"mpg\": 15.5, \"gear\": 3, \"drat\": 2.76, \"qsec\": 16.87, \"am\": 0, \"hp\": 150, \"vs\": 0, \"wt\": 3.52, \"mpg_z\": -0.7616831869670355, \"carb\": 2, \"model\": \"Dodge Challenger\", \"cyl\": 8}, {\"disp\": 304.0, \"mpg\": 15.2, \"gear\": 3, \"drat\": 3.15, \"qsec\": 17.3, \"am\": 0, \"hp\": 150, \"vs\": 0, \"wt\": 3.435, \"mpg_z\": -0.8114596239642007, \"carb\": 2, \"model\": \"AMC Javelin\", \"cyl\": 8}, {\"disp\": 350.0, \"mpg\": 13.3, \"gear\": 3, \"drat\": 3.73, \"qsec\": 15.41, \"am\": 0, \"hp\": 245, \"vs\": 0, \"wt\": 3.84, \"mpg_z\": -1.1267103916129124, \"carb\": 4, \"model\": \"Camaro Z28\", \"cyl\": 8}, {\"disp\": 400.0, \"mpg\": 19.2, \"gear\": 3, \"drat\": 3.08, \"qsec\": 17.05, \"am\": 0, \"hp\": 175, \"vs\": 0, \"wt\": 3.845, \"mpg_z\": -0.1477737973353332, \"carb\": 2, \"model\": \"Pontiac Firebird\", \"cyl\": 8}, {\"disp\": 79.0, \"mpg\": 27.3, \"gear\": 4, \"drat\": 4.08, \"qsec\": 18.9, \"am\": 1, \"hp\": 66, \"vs\": 1, \"wt\": 1.935, \"mpg_z\": 1.1961900015881237, \"carb\": 1, \"model\": \"Fiat X1-9\", \"cyl\": 4}, {\"disp\": 120.3, \"mpg\": 26.0, \"gear\": 5, \"drat\": 4.43, \"qsec\": 16.7, \"am\": 1, \"hp\": 91, \"vs\": 0, \"wt\": 2.14, \"mpg_z\": 0.9804921079337416, \"carb\": 2, \"model\": \"Porsche 914-2\", \"cyl\": 4}, {\"disp\": 95.1, \"mpg\": 30.4, \"gear\": 5, \"drat\": 3.77, \"qsec\": 16.9, \"am\": 1, \"hp\": 113, \"vs\": 1, \"wt\": 1.5130000000000001, \"mpg_z\": 1.7105465172254957, \"carb\": 2, \"model\": \"Lotus Europa\", \"cyl\": 4}, {\"disp\": 351.0, \"mpg\": 15.8, \"gear\": 5, \"drat\": 4.22, \"qsec\": 14.5, \"am\": 1, \"hp\": 264, \"vs\": 0, \"wt\": 3.17, \"mpg_z\": -0.7119067499698704, \"carb\": 4, \"model\": \"Ford Pantera L\", \"cyl\": 8}, {\"disp\": 145.0, \"mpg\": 19.7, \"gear\": 5, \"drat\": 3.62, \"qsec\": 15.5, \"am\": 1, \"hp\": 175, \"vs\": 0, \"wt\": 2.77, \"mpg_z\": -0.06481306900672475, \"carb\": 6, \"model\": \"Ferrari Dino\", \"cyl\": 6}, {\"disp\": 301.0, \"mpg\": 15.0, \"gear\": 5, \"drat\": 3.54, \"qsec\": 14.6, \"am\": 1, \"hp\": 335, \"vs\": 0, \"wt\": 3.57, \"mpg_z\": -0.8446439152956439, \"carb\": 8, \"model\": \"Maserati Bora\", \"cyl\": 8}, {\"disp\": 121.0, \"mpg\": 21.4, \"gear\": 4, \"drat\": 4.11, \"qsec\": 18.6, \"am\": 1, \"hp\": 109, \"vs\": 1, \"wt\": 2.78, \"mpg_z\": 0.21725340731054382, \"carb\": 2, \"model\": \"Volvo 142E\", \"cyl\": 4}]}, \"mark\": \"circle\", \"config\": {\"cell\": {\"width\": 400.0, \"height\": 100.0}, \"scale\": {\"bandSize\": 22.0}, \"mark\": {\"color\": \"black\", \"size\": 400.0}}, \"transform\": {\"calculate\": [{\"expr\": \"if((datum.mpg_z<6.678685382510707e-16),'Below average','Above average')\", \"field\": \"Performance\"}]}, \"encoding\": {\"y\": {\"sort\": {\"field\": \"mpg_z\", \"order\": \"descending\", \"op\": \"mean\"}, \"field\": \"model\", \"type\": \"nominal\"}, \"text\": {\"field\": \"mpg_z\", \"type\": \"quantitative\"}, \"x\": {\"field\": \"mpg_z\", \"type\": \"quantitative\"}}}, {\"data\": {\"values\": [{\"disp\": 160.0, \"mpg\": 21.0, \"gear\": 4, \"drat\": 3.9, \"qsec\": 16.46, \"am\": 1, \"hp\": 110, \"vs\": 0, \"wt\": 2.62, \"mpg_z\": 0.1508848246476573, \"carb\": 4, \"model\": \"Mazda RX4\", \"cyl\": 6}, {\"disp\": 160.0, \"mpg\": 21.0, \"gear\": 4, \"drat\": 3.9, \"qsec\": 17.02, \"am\": 1, \"hp\": 110, \"vs\": 0, \"wt\": 2.875, \"mpg_z\": 0.1508848246476573, \"carb\": 4, \"model\": \"Mazda RX4 Wag\", \"cyl\": 6}, {\"disp\": 108.0, \"mpg\": 22.8, \"gear\": 4, \"drat\": 3.85, \"qsec\": 18.61, \"am\": 1, \"hp\": 93, \"vs\": 1, \"wt\": 2.32, \"mpg_z\": 0.44954344663064777, \"carb\": 1, \"model\": \"Datsun 710\", \"cyl\": 4}, {\"disp\": 258.0, \"mpg\": 21.4, \"gear\": 3, \"drat\": 3.08, \"qsec\": 19.44, \"am\": 0, \"hp\": 110, \"vs\": 1, \"wt\": 3.215, \"mpg_z\": 0.21725340731054382, \"carb\": 1, \"model\": \"Hornet 4 Drive\", \"cyl\": 6}, {\"disp\": 360.0, \"mpg\": 18.7, \"gear\": 3, \"drat\": 3.15, \"qsec\": 17.02, \"am\": 0, \"hp\": 175, \"vs\": 0, \"wt\": 3.44, \"mpg_z\": -0.23073452566394162, \"carb\": 2, \"model\": \"Hornet Sportabout\", \"cyl\": 8}, {\"disp\": 225.0, \"mpg\": 18.1, \"gear\": 3, \"drat\": 2.76, \"qsec\": 20.22, \"am\": 0, \"hp\": 105, \"vs\": 1, \"wt\": 3.46, \"mpg_z\": -0.33028739965827136, \"carb\": 1, \"model\": \"Valiant\", \"cyl\": 6}, {\"disp\": 360.0, \"mpg\": 14.3, \"gear\": 3, \"drat\": 3.21, \"qsec\": 15.84, \"am\": 0, \"hp\": 245, \"vs\": 0, \"wt\": 3.57, \"mpg_z\": -0.9607889349556956, \"carb\": 4, \"model\": \"Duster 360\", \"cyl\": 8}, {\"disp\": 146.7, \"mpg\": 24.4, \"gear\": 4, \"drat\": 3.69, \"qsec\": 20.0, \"am\": 0, \"hp\": 62, \"vs\": 1, \"wt\": 3.19, \"mpg_z\": 0.7150177772821944, \"carb\": 2, \"model\": \"Merc 240D\", \"cyl\": 4}, {\"disp\": 140.8, \"mpg\": 22.8, \"gear\": 4, \"drat\": 3.92, \"qsec\": 22.9, \"am\": 0, \"hp\": 95, \"vs\": 1, \"wt\": 3.15, \"mpg_z\": 0.44954344663064777, \"carb\": 2, \"model\": \"Merc 230\", \"cyl\": 4}, {\"disp\": 167.6, \"mpg\": 19.2, \"gear\": 4, \"drat\": 3.92, \"qsec\": 18.3, \"am\": 0, \"hp\": 123, \"vs\": 1, \"wt\": 3.44, \"mpg_z\": -0.1477737973353332, \"carb\": 4, \"model\": \"Merc 280\", \"cyl\": 6}, {\"disp\": 167.6, \"mpg\": 17.8, \"gear\": 4, \"drat\": 3.92, \"qsec\": 18.9, \"am\": 0, \"hp\": 123, \"vs\": 1, \"wt\": 3.44, \"mpg_z\": -0.3800638366554366, \"carb\": 4, \"model\": \"Merc 280C\", \"cyl\": 6}, {\"disp\": 275.8, \"mpg\": 16.4, \"gear\": 3, \"drat\": 3.07, \"qsec\": 17.4, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 4.07, \"mpg_z\": -0.6123538759755406, \"carb\": 3, \"model\": \"Merc 450SE\", \"cyl\": 8}, {\"disp\": 275.8, \"mpg\": 17.3, \"gear\": 3, \"drat\": 3.07, \"qsec\": 17.6, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 3.73, \"mpg_z\": -0.463024564984045, \"carb\": 3, \"model\": \"Merc 450SL\", \"cyl\": 8}, {\"disp\": 275.8, \"mpg\": 15.2, \"gear\": 3, \"drat\": 3.07, \"qsec\": 18.0, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 3.78, \"mpg_z\": -0.8114596239642007, \"carb\": 3, \"model\": \"Merc 450SLC\", \"cyl\": 8}, {\"disp\": 472.0, \"mpg\": 10.4, \"gear\": 3, \"drat\": 2.93, \"qsec\": 17.98, \"am\": 0, \"hp\": 205, \"vs\": 0, \"wt\": 5.25, \"mpg_z\": -1.6078826159188415, \"carb\": 4, \"model\": \"Cadillac Fleetwood\", \"cyl\": 8}, {\"disp\": 460.0, \"mpg\": 10.4, \"gear\": 3, \"drat\": 3.0, \"qsec\": 17.82, \"am\": 0, \"hp\": 215, \"vs\": 0, \"wt\": 5.4239999999999995, \"mpg_z\": -1.6078826159188415, \"carb\": 4, \"model\": \"Lincoln Continental\", \"cyl\": 8}, {\"disp\": 440.0, \"mpg\": 14.7, \"gear\": 3, \"drat\": 3.23, \"qsec\": 17.42, \"am\": 0, \"hp\": 230, \"vs\": 0, \"wt\": 5.345, \"mpg_z\": -0.8944203522928091, \"carb\": 4, \"model\": \"Chrysler Imperial\", \"cyl\": 8}, {\"disp\": 78.7, \"mpg\": 32.4, \"gear\": 4, \"drat\": 4.08, \"qsec\": 19.47, \"am\": 1, \"hp\": 66, \"vs\": 1, \"wt\": 2.2, \"mpg_z\": 2.0423894305399295, \"carb\": 1, \"model\": \"Fiat 128\", \"cyl\": 4}, {\"disp\": 75.7, \"mpg\": 30.4, \"gear\": 4, \"drat\": 4.93, \"qsec\": 18.52, \"am\": 1, \"hp\": 52, \"vs\": 1, \"wt\": 1.615, \"mpg_z\": 1.7105465172254957, \"carb\": 2, \"model\": \"Honda Civic\", \"cyl\": 4}, {\"disp\": 71.1, \"mpg\": 33.9, \"gear\": 4, \"drat\": 4.22, \"qsec\": 19.9, \"am\": 1, \"hp\": 65, \"vs\": 1, \"wt\": 1.835, \"mpg_z\": 2.291271615525755, \"carb\": 1, \"model\": \"Toyota Corolla\", \"cyl\": 4}, {\"disp\": 120.1, \"mpg\": 21.5, \"gear\": 3, \"drat\": 3.7, \"qsec\": 20.01, \"am\": 0, \"hp\": 97, \"vs\": 1, \"wt\": 2.465, \"mpg_z\": 0.23384555297626572, \"carb\": 1, \"model\": \"Toyota Corona\", \"cyl\": 4}, {\"disp\": 318.0, \"mpg\": 15.5, \"gear\": 3, \"drat\": 2.76, \"qsec\": 16.87, \"am\": 0, \"hp\": 150, \"vs\": 0, \"wt\": 3.52, \"mpg_z\": -0.7616831869670355, \"carb\": 2, \"model\": \"Dodge Challenger\", \"cyl\": 8}, {\"disp\": 304.0, \"mpg\": 15.2, \"gear\": 3, \"drat\": 3.15, \"qsec\": 17.3, \"am\": 0, \"hp\": 150, \"vs\": 0, \"wt\": 3.435, \"mpg_z\": -0.8114596239642007, \"carb\": 2, \"model\": \"AMC Javelin\", \"cyl\": 8}, {\"disp\": 350.0, \"mpg\": 13.3, \"gear\": 3, \"drat\": 3.73, \"qsec\": 15.41, \"am\": 0, \"hp\": 245, \"vs\": 0, \"wt\": 3.84, \"mpg_z\": -1.1267103916129124, \"carb\": 4, \"model\": \"Camaro Z28\", \"cyl\": 8}, {\"disp\": 400.0, \"mpg\": 19.2, \"gear\": 3, \"drat\": 3.08, \"qsec\": 17.05, \"am\": 0, \"hp\": 175, \"vs\": 0, \"wt\": 3.845, \"mpg_z\": -0.1477737973353332, \"carb\": 2, \"model\": \"Pontiac Firebird\", \"cyl\": 8}, {\"disp\": 79.0, \"mpg\": 27.3, \"gear\": 4, \"drat\": 4.08, \"qsec\": 18.9, \"am\": 1, \"hp\": 66, \"vs\": 1, \"wt\": 1.935, \"mpg_z\": 1.1961900015881237, \"carb\": 1, \"model\": \"Fiat X1-9\", \"cyl\": 4}, {\"disp\": 120.3, \"mpg\": 26.0, \"gear\": 5, \"drat\": 4.43, \"qsec\": 16.7, \"am\": 1, \"hp\": 91, \"vs\": 0, \"wt\": 2.14, \"mpg_z\": 0.9804921079337416, \"carb\": 2, \"model\": \"Porsche 914-2\", \"cyl\": 4}, {\"disp\": 95.1, \"mpg\": 30.4, \"gear\": 5, \"drat\": 3.77, \"qsec\": 16.9, \"am\": 1, \"hp\": 113, \"vs\": 1, \"wt\": 1.5130000000000001, \"mpg_z\": 1.7105465172254957, \"carb\": 2, \"model\": \"Lotus Europa\", \"cyl\": 4}, {\"disp\": 351.0, \"mpg\": 15.8, \"gear\": 5, \"drat\": 4.22, \"qsec\": 14.5, \"am\": 1, \"hp\": 264, \"vs\": 0, \"wt\": 3.17, \"mpg_z\": -0.7119067499698704, \"carb\": 4, \"model\": \"Ford Pantera L\", \"cyl\": 8}, {\"disp\": 145.0, \"mpg\": 19.7, \"gear\": 5, \"drat\": 3.62, \"qsec\": 15.5, \"am\": 1, \"hp\": 175, \"vs\": 0, \"wt\": 2.77, \"mpg_z\": -0.06481306900672475, \"carb\": 6, \"model\": \"Ferrari Dino\", \"cyl\": 6}, {\"disp\": 301.0, \"mpg\": 15.0, \"gear\": 5, \"drat\": 3.54, \"qsec\": 14.6, \"am\": 1, \"hp\": 335, \"vs\": 0, \"wt\": 3.57, \"mpg_z\": -0.8446439152956439, \"carb\": 8, \"model\": \"Maserati Bora\", \"cyl\": 8}, {\"disp\": 121.0, \"mpg\": 21.4, \"gear\": 4, \"drat\": 4.11, \"qsec\": 18.6, \"am\": 1, \"hp\": 109, \"vs\": 1, \"wt\": 2.78, \"mpg_z\": 0.21725340731054382, \"carb\": 2, \"model\": \"Volvo 142E\", \"cyl\": 4}]}, \"mark\": \"text\", \"config\": {\"cell\": {\"width\": 400.0, \"height\": 100.0}, \"scale\": {\"bandSize\": 22.0}, \"mark\": {\"color\": \"white\"}}, \"transform\": {\"calculate\": [{\"expr\": \"if((datum.mpg_z<6.678685382510707e-16),'Below average','Above average')\", \"field\": \"Performance\"}]}, \"encoding\": {\"y\": {\"sort\": {\"field\": \"mpg_z\", \"order\": \"descending\", \"op\": \"mean\"}, \"field\": \"model\", \"type\": \"nominal\"}, \"text\": {\"field\": \"mpg_z\", \"type\": \"quantitative\"}, \"x\": {\"field\": \"mpg_z\", \"type\": \"quantitative\"}}}], \"data\": {\"values\": [{\"disp\": 160.0, \"mpg\": 21.0, \"gear\": 4, \"drat\": 3.9, \"qsec\": 16.46, \"am\": 1, \"hp\": 110, \"vs\": 0, \"wt\": 2.62, \"mpg_z\": 0.1508848246476573, \"carb\": 4, \"model\": \"Mazda RX4\", \"cyl\": 6}, {\"disp\": 160.0, \"mpg\": 21.0, \"gear\": 4, \"drat\": 3.9, \"qsec\": 17.02, \"am\": 1, \"hp\": 110, \"vs\": 0, \"wt\": 2.875, \"mpg_z\": 0.1508848246476573, \"carb\": 4, \"model\": \"Mazda RX4 Wag\", \"cyl\": 6}, {\"disp\": 108.0, \"mpg\": 22.8, \"gear\": 4, \"drat\": 3.85, \"qsec\": 18.61, \"am\": 1, \"hp\": 93, \"vs\": 1, \"wt\": 2.32, \"mpg_z\": 0.44954344663064777, \"carb\": 1, \"model\": \"Datsun 710\", \"cyl\": 4}, {\"disp\": 258.0, \"mpg\": 21.4, \"gear\": 3, \"drat\": 3.08, \"qsec\": 19.44, \"am\": 0, \"hp\": 110, \"vs\": 1, \"wt\": 3.215, \"mpg_z\": 0.21725340731054382, \"carb\": 1, \"model\": \"Hornet 4 Drive\", \"cyl\": 6}, {\"disp\": 360.0, \"mpg\": 18.7, \"gear\": 3, \"drat\": 3.15, \"qsec\": 17.02, \"am\": 0, \"hp\": 175, \"vs\": 0, \"wt\": 3.44, \"mpg_z\": -0.23073452566394162, \"carb\": 2, \"model\": \"Hornet Sportabout\", \"cyl\": 8}, {\"disp\": 225.0, \"mpg\": 18.1, \"gear\": 3, \"drat\": 2.76, \"qsec\": 20.22, \"am\": 0, \"hp\": 105, \"vs\": 1, \"wt\": 3.46, \"mpg_z\": -0.33028739965827136, \"carb\": 1, \"model\": \"Valiant\", \"cyl\": 6}, {\"disp\": 360.0, \"mpg\": 14.3, \"gear\": 3, \"drat\": 3.21, \"qsec\": 15.84, \"am\": 0, \"hp\": 245, \"vs\": 0, \"wt\": 3.57, \"mpg_z\": -0.9607889349556956, \"carb\": 4, \"model\": \"Duster 360\", \"cyl\": 8}, {\"disp\": 146.7, \"mpg\": 24.4, \"gear\": 4, \"drat\": 3.69, \"qsec\": 20.0, \"am\": 0, \"hp\": 62, \"vs\": 1, \"wt\": 3.19, \"mpg_z\": 0.7150177772821944, \"carb\": 2, \"model\": \"Merc 240D\", \"cyl\": 4}, {\"disp\": 140.8, \"mpg\": 22.8, \"gear\": 4, \"drat\": 3.92, \"qsec\": 22.9, \"am\": 0, \"hp\": 95, \"vs\": 1, \"wt\": 3.15, \"mpg_z\": 0.44954344663064777, \"carb\": 2, \"model\": \"Merc 230\", \"cyl\": 4}, {\"disp\": 167.6, \"mpg\": 19.2, \"gear\": 4, \"drat\": 3.92, \"qsec\": 18.3, \"am\": 0, \"hp\": 123, \"vs\": 1, \"wt\": 3.44, \"mpg_z\": -0.1477737973353332, \"carb\": 4, \"model\": \"Merc 280\", \"cyl\": 6}, {\"disp\": 167.6, \"mpg\": 17.8, \"gear\": 4, \"drat\": 3.92, \"qsec\": 18.9, \"am\": 0, \"hp\": 123, \"vs\": 1, \"wt\": 3.44, \"mpg_z\": -0.3800638366554366, \"carb\": 4, \"model\": \"Merc 280C\", \"cyl\": 6}, {\"disp\": 275.8, \"mpg\": 16.4, \"gear\": 3, \"drat\": 3.07, \"qsec\": 17.4, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 4.07, \"mpg_z\": -0.6123538759755406, \"carb\": 3, \"model\": \"Merc 450SE\", \"cyl\": 8}, {\"disp\": 275.8, \"mpg\": 17.3, \"gear\": 3, \"drat\": 3.07, \"qsec\": 17.6, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 3.73, \"mpg_z\": -0.463024564984045, \"carb\": 3, \"model\": \"Merc 450SL\", \"cyl\": 8}, {\"disp\": 275.8, \"mpg\": 15.2, \"gear\": 3, \"drat\": 3.07, \"qsec\": 18.0, \"am\": 0, \"hp\": 180, \"vs\": 0, \"wt\": 3.78, \"mpg_z\": -0.8114596239642007, \"carb\": 3, \"model\": \"Merc 450SLC\", \"cyl\": 8}, {\"disp\": 472.0, \"mpg\": 10.4, \"gear\": 3, \"drat\": 2.93, \"qsec\": 17.98, \"am\": 0, \"hp\": 205, \"vs\": 0, \"wt\": 5.25, \"mpg_z\": -1.6078826159188415, \"carb\": 4, \"model\": \"Cadillac Fleetwood\", \"cyl\": 8}, {\"disp\": 460.0, \"mpg\": 10.4, \"gear\": 3, \"drat\": 3.0, \"qsec\": 17.82, \"am\": 0, \"hp\": 215, \"vs\": 0, \"wt\": 5.4239999999999995, \"mpg_z\": -1.6078826159188415, \"carb\": 4, \"model\": \"Lincoln Continental\", \"cyl\": 8}, {\"disp\": 440.0, \"mpg\": 14.7, \"gear\": 3, \"drat\": 3.23, \"qsec\": 17.42, \"am\": 0, \"hp\": 230, \"vs\": 0, \"wt\": 5.345, \"mpg_z\": -0.8944203522928091, \"carb\": 4, \"model\": \"Chrysler Imperial\", \"cyl\": 8}, {\"disp\": 78.7, \"mpg\": 32.4, \"gear\": 4, \"drat\": 4.08, \"qsec\": 19.47, \"am\": 1, \"hp\": 66, \"vs\": 1, \"wt\": 2.2, \"mpg_z\": 2.0423894305399295, \"carb\": 1, \"model\": \"Fiat 128\", \"cyl\": 4}, {\"disp\": 75.7, \"mpg\": 30.4, \"gear\": 4, \"drat\": 4.93, \"qsec\": 18.52, \"am\": 1, \"hp\": 52, \"vs\": 1, \"wt\": 1.615, \"mpg_z\": 1.7105465172254957, \"carb\": 2, \"model\": \"Honda Civic\", \"cyl\": 4}, {\"disp\": 71.1, \"mpg\": 33.9, \"gear\": 4, \"drat\": 4.22, \"qsec\": 19.9, \"am\": 1, \"hp\": 65, \"vs\": 1, \"wt\": 1.835, \"mpg_z\": 2.291271615525755, \"carb\": 1, \"model\": \"Toyota Corolla\", \"cyl\": 4}, {\"disp\": 120.1, \"mpg\": 21.5, \"gear\": 3, \"drat\": 3.7, \"qsec\": 20.01, \"am\": 0, \"hp\": 97, \"vs\": 1, \"wt\": 2.465, \"mpg_z\": 0.23384555297626572, \"carb\": 1, \"model\": \"Toyota Corona\", \"cyl\": 4}, {\"disp\": 318.0, \"mpg\": 15.5, \"gear\": 3, \"drat\": 2.76, \"qsec\": 16.87, \"am\": 0, \"hp\": 150, \"vs\": 0, \"wt\": 3.52, \"mpg_z\": -0.7616831869670355, \"carb\": 2, \"model\": \"Dodge Challenger\", \"cyl\": 8}, {\"disp\": 304.0, \"mpg\": 15.2, \"gear\": 3, \"drat\": 3.15, \"qsec\": 17.3, \"am\": 0, \"hp\": 150, \"vs\": 0, \"wt\": 3.435, \"mpg_z\": -0.8114596239642007, \"carb\": 2, \"model\": \"AMC Javelin\", \"cyl\": 8}, {\"disp\": 350.0, \"mpg\": 13.3, \"gear\": 3, \"drat\": 3.73, \"qsec\": 15.41, \"am\": 0, \"hp\": 245, \"vs\": 0, \"wt\": 3.84, \"mpg_z\": -1.1267103916129124, \"carb\": 4, \"model\": \"Camaro Z28\", \"cyl\": 8}, {\"disp\": 400.0, \"mpg\": 19.2, \"gear\": 3, \"drat\": 3.08, \"qsec\": 17.05, \"am\": 0, \"hp\": 175, \"vs\": 0, \"wt\": 3.845, \"mpg_z\": -0.1477737973353332, \"carb\": 2, \"model\": \"Pontiac Firebird\", \"cyl\": 8}, {\"disp\": 79.0, \"mpg\": 27.3, \"gear\": 4, \"drat\": 4.08, \"qsec\": 18.9, \"am\": 1, \"hp\": 66, \"vs\": 1, \"wt\": 1.935, \"mpg_z\": 1.1961900015881237, \"carb\": 1, \"model\": \"Fiat X1-9\", \"cyl\": 4}, {\"disp\": 120.3, \"mpg\": 26.0, \"gear\": 5, \"drat\": 4.43, \"qsec\": 16.7, \"am\": 1, \"hp\": 91, \"vs\": 0, \"wt\": 2.14, \"mpg_z\": 0.9804921079337416, \"carb\": 2, \"model\": \"Porsche 914-2\", \"cyl\": 4}, {\"disp\": 95.1, \"mpg\": 30.4, \"gear\": 5, \"drat\": 3.77, \"qsec\": 16.9, \"am\": 1, \"hp\": 113, \"vs\": 1, \"wt\": 1.5130000000000001, \"mpg_z\": 1.7105465172254957, \"carb\": 2, \"model\": \"Lotus Europa\", \"cyl\": 4}, {\"disp\": 351.0, \"mpg\": 15.8, \"gear\": 5, \"drat\": 4.22, \"qsec\": 14.5, \"am\": 1, \"hp\": 264, \"vs\": 0, \"wt\": 3.17, \"mpg_z\": -0.7119067499698704, \"carb\": 4, \"model\": \"Ford Pantera L\", \"cyl\": 8}, {\"disp\": 145.0, \"mpg\": 19.7, \"gear\": 5, \"drat\": 3.62, \"qsec\": 15.5, \"am\": 1, \"hp\": 175, \"vs\": 0, \"wt\": 2.77, \"mpg_z\": -0.06481306900672475, \"carb\": 6, \"model\": \"Ferrari Dino\", \"cyl\": 6}, {\"disp\": 301.0, \"mpg\": 15.0, \"gear\": 5, \"drat\": 3.54, \"qsec\": 14.6, \"am\": 1, \"hp\": 335, \"vs\": 0, \"wt\": 3.57, \"mpg_z\": -0.8446439152956439, \"carb\": 8, \"model\": \"Maserati Bora\", \"cyl\": 8}, {\"disp\": 121.0, \"mpg\": 21.4, \"gear\": 4, \"drat\": 4.11, \"qsec\": 18.6, \"am\": 1, \"hp\": 109, \"vs\": 1, \"wt\": 2.78, \"mpg_z\": 0.21725340731054382, \"carb\": 2, \"model\": \"Volvo 142E\", \"cyl\": 4}]}, \"config\": {\"cell\": {\"width\": 500, \"height\": 350}, \"numberFormat\": \"0.1f\"}};\n",
       "var selector = \"#ded680b2-309d-4f91-88d8-dbc8fa6f5d61\";\n",
       "var type = \"vega-lite\";\n",
       "\n",
       "var output_area = this;\n",
       "require(['nbextensions/jupyter-vega/index'], function(vega) {\n",
       "  vega.render(selector, spec, type, output_area);\n",
       "}, function (err) {\n",
       "  if (err.requireType !== 'scripterror') {\n",
       "    throw(err);\n",
       "  }\n",
       "});\n"
      ]
     },
     "metadata": {
      "jupyter-vega": "#ded680b2-309d-4f91-88d8-dbc8fa6f5d61"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {
      "jupyter-vega": "#ded680b2-309d-4f91-88d8-dbc8fa6f5d61"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "chart.layers = [c1, c2, c3]\n",
    "chart.configure(numberFormat=\"0.1f\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Todo\n",
    "\n",
    "1. can we make it simpler? or, make it a native mark_lollipop?\n",
    "2. A lot of stuff is redundant across the layers, can we reduce that?\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
